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Effects of Pressure and Moisture Content on Bulk Density of Triticale Grain under Compaction
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Highlights

Compaction of triticale grain with three moisture contents (8%, 12%, and 16% wet basis) was measured at five applied pressures (0, 7, 14, 34, and 55 kPa).

Bulk density increased with increasing pressure for all moisture contents and was significantly (p < 0.0001) dependent on both moisture content and applied pressure.

A Verhulst logistic equation was found to model the changes in bulk density of triticale grain with R2 of 0.986.

The model showed similar behavior to that of wheat and rye, indicating that the results of this study can be used with the methods of ASABE Standard S413 to predict the quantity of triticale grain stored in bins.

Abstract. The objective of this study was to determine the combined effects of moisture content (MC) and pressure on the changes in bulk density of triticale grain under compaction at conditions typical of those seen in storage structures and to develop mathematical models to describe the compression behavior. Triticale compaction was measured at three MCs (8%, 12%, and 16% wet basis) and four compaction pressures (7, 14, 34, and 55 kPa) using a square metal box based on the design used in an earlier study by Thompson and Ross. Data from the compaction tests were used to calculate bulk densities for the three MCs and four pressures. Bulk densities were found to be significantly (p < 0.0001) dependent on both MC and pressure. Bulk densities varied with increasing MC, as has been observed in similar studies for other agricultural grains such as rye and wheat. These results provide guidance for estimating the bulk density of triticale in bins and other storage structures. The Verhulst logistic equation was found to best describe the changes in bulk density of triticale caused by rearrangement of the grain kernels at lower pressures for the three MCs. At higher pressures, the grain was observed to be more compliant, and Hooke’s law was used to accurately describe the observed changes. Data from the compaction tests were used to estimate the model parameters, with a correlation coefficient (R2) of 0.986. The model was then used in WPACKING to compare the results of this study to pack factor predictions for triticale and wheat. WPACKING is a computer program that is the basis for ASABE Standard S413. The results of this comparison showed that this method can be used with the methods of ASABE Standard S413 to predict the quantity of triticale grain stored in bins. Keywords: Bulk density, Interaction, Moisture content, Pressure, Triticale, Verhulst logistic equation.

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Wed Mar 10 2021
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Sat Jun 01 2013
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The Effect of SOLO and Sodium Hypochlorite Disinfectant on Some Properties of Different Types of Dental Stone
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An educational design based on the models of the constructivist theory of chemistry and its impact on the life skills of second-year middle school female students
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Sat Jul 22 2023
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The Influence of Politics on Architectural Thought A Descriptive and Analytical Study of the Effect of Political Ideology on the Achieved Architecture (Berlin City as an Example)
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Sun Dec 01 2019
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Wed Jan 10 2018
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EFFECT OF ADDING TWO (Curcuma longa) LEVELS OF CURCUMA ON SOME PRODUCTIVE AND PHYSIOLOGICAL CHARACTERISTICS FOR QUAIL JAPANESE.: EFFECT OF ADDING TWO (Curcuma longa) LEVELS OF CURCUMA ON SOME PRODUCTIVE AND PHYSIOLOGICAL CHARACTERISTICS FOR QUAIL JAPANESE.
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Sat Mar 03 2018
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